Applied Statistical Modelling & Health Informatics MSc, PGCert, PGDip
A flexible postgraduate programme focused on advanced statistical and computational techniques for modern medical research.
Best for:Best for graduates and professionals in STEM or health fields seeking advanced methodological skills for medical research and health informatics.
Overview
This programme provides comprehensive training in core statistical, machine learning, and computational methodologies tailored for the health sector. Students gain the expertise to analyze complex, multimodal datasets, including electronic health records, omics data, and wearable device information. Facilitated by the Institute of Psychiatry, Psychology & Neuroscience at King’s College London, the course bridges the gap between methodological research and real-world clinical application. It is designed for graduates and professionals in fields such as computer science, mathematics, medicine, and the natural sciences who wish to advance their careers in health informatics and medical statistics.
What you'll do
- Engage in advanced training in core statistical and machine learning methodologies.
- Develop proficiency in analyzing multimodal datasets including electronic health records and omics data.
- Apply computational techniques to real-world health and clinical research settings.
- Participate in networking and mentoring opportunities within the IoPPN research community.
- Utilize big data analysis techniques to derive insights for patient benefit.
Requirements
Degree required: Bachelor's degree in a relevant field such as computer science, mathematics, physics, engineering, psychology, or medicine.
Degree offered: MSc, PGCert, or PGDip
Language: English proficiency required; standard university requirements apply.
Instruction: English
- Foundational knowledge in quantitative or computational methods.
- Academic background in STEM, medicine, or psychology.
- Interest in applying statistical modelling to health informatics.
Funding & terms
Programme and admissions
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- Intake
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- Taught / research mode
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- Prerequisites
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How to apply
Applications should be submitted through the official King's College London postgraduate portal. Prospective students should review the specific entry requirements and course structure on the university website before applying.
- Academic transcripts
- Personal statement
- Letters of recommendation
- Proof of English proficiency
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